Biometric data security: how to avoid risks and ensure protection with advanced technology

The increasing adoption of biometric technologies (such as fingerprints, iris scans, and facial recognition) brings significant benefits in security and convenience. However, this innovation also presents critical challenges related to the protection of this sensitive data. In this section, we will address the main risks associated with biometric security, including data breaches, fraud, and the importance of regulatory compliance.

2.1. Leakage and theft of biometric data

Biometric data is unique and permanent, making it a valuable target for cybercriminals . Unlike passwords, which can be changed if compromised, biometric data, once exposed, cannot be replaced . This means that a breach can have lasting consequences for the individuals affected.

In 2024, a survey by the Brazilian Internet Steering Committee (CGI.br) revealed that 60% of Brazilians who use the internet are concerned about providing their biometric data . This concern reflects the fear that such information could be exposed or used inappropriately, resulting in identity theft or unauthorized access to sensitive systems.
According to the same survey, the increase in the collection of biometric data by Brazilian companies is also notable, rising from 24% in 2021 to 30% in 2023. This growth amplifies the risks associated with potential leaks, requiring organizations to implement robust security measures to protect this information.

Biometric fraud and spoofing

Biometric fraud, such as spoofing (a technique in which fraudsters deceive biometric systems using false reproductions, such as masks or photos), has become more sophisticated liveness detection systems increases susceptibility to these attacks.

spoofing techniques involve:

• Use of images or videos : criminals use high-resolution photographs or videos of victims to deceive facial recognition systems that do not have advanced liveness detection mechanisms;

• Deepfakes : the use of artificial intelligence to create fake images or videos that accurately replicate the appearance of legitimate individuals;
  
• Three-dimensional masks : the manufacture of realistic 3D masks, replicating the victim's features, is a more sophisticated technique that can deceive less robust biometric systems;
  
• Digital manipulation : Fraudsters can replace images captured in real time with digitally manipulated versions, deceiving the system during the authentication process.

And the most vulnerable sectors are: 

• Financial : Banks and financial institutions that use biometric authentication for account access and transaction approval are frequent targets;
  
• Urban mobility : Transportation platforms that use facial recognition to verify drivers and passengers face spoofing ;
  
• E-commerce online services : online stores and digital platforms that use biometrics for user authentication can be vulnerable, facilitating fraudulent purchases and unauthorized access to personal information.

According to a CAF report , between January and April 2024, attempted fraud using biometric tools increased from 2.08% to 2.79% compared to the same period in 2023. This growth indicates that as the adoption of biometrics expands, so do malicious efforts to exploit its vulnerabilities.

On the other hand, the effectiveness of facial biometrics in fraud prevention is evident. According to Serasa Experian , in 2022, this technology prevented losses estimated at almost R$ 29 billion in Brazil , demonstrating its crucial role in protecting against fraudulent transactions. This highlights the importance of continuous investment in biometric solutions to safeguard sensitive information.
Despite the advances, the increasing sophistication of spoofing requires companies to continuously invest in advanced security solutions . Furthermore, it is essential to educate users about the associated risks and best practices for protecting their biometric information.

2.3. The role of regulations and compliance 

The protection of biometric data goes beyond technology: it also depends on regulations that guarantee the ethical and secure use of this information . In Brazil, the General Data Protection Law (LGPD) classifies biometric data as sensitive personal data , requiring explicit consent from the data subject, a clear definition of the purpose of use, and the implementation of security measures to prevent unauthorized access and leaks.

Companies that fail to comply with the requirements may face severe penalties , including fines of up to 2% of revenue, limited to R$ 50 million per infraction, and even partial suspension of activities related to data processing . Furthermore, the National Data Protection Authority (ANPD) monitors the use of biometrics, reinforcing the need for compliance with regulations to protect the rights of individuals.

Understanding and adhering to regulations is essential to mitigate legal risks, protect company reputation, and ensure user trust. In other words, investing in data governance is not just a legal requirement, but an opportunity to demonstrate a commitment to security and privacy.
The risks are clear, but the good news is that technologies for protecting biometric data are constantly evolving . In the next section, we will explore the key technological innovations that help companies ensure biometric security efficiently and reliably.

3. Technologies for biometric data protection

The security of biometric data has become a priority as these technologies are widely adopted across various sectors. As we have seen, protecting sensitive information is essential to maintaining user trust and system integrity. Below, we will explore three key technologies that strengthen the protection of biometric data ; check it out.

3.1. Encryption and secure storage

Cryptography is a key tool in protecting biometric data. It converts sensitive information into codes that are undecipherable to unauthorized users , ensuring that even in the event of interception, the data remains protected. Advanced techniques, such as homomorphic encryption , allow data to be processed while still encrypted, ensuring privacy throughout the entire usage cycle. This is particularly relevant in biometric systems, where data exposure can lead to significant security risks.
In addition to encryption, secure data storage is crucial. Implementing solutions that integrate robust encryption with strict access controls prevents unauthorized access and potential leaks. For example, Apple uses Data Protection technology in its devices , allowing common events such as phone calls to occur without compromising the encryption of user data. This approach ensures that biometric data is always protected, even during routine operations .

3.2. Artificial intelligence in authentication

Artificial intelligence (AI) has revolutionized biometric authentication systems, improving both accuracy and security . AI algorithms are capable of analyzing complex patterns in biometric data, such as facial features or fingerprints, identifying anomalies and potential fraud attempts with high efficiency. For example, combining biometrics with AI and machine learning allows for the analysis of large volumes of biometric data in real time, continuously learning from new patterns. This improves fraud detection and reduces false positives and negatives.
Furthermore, AI facilitates the implementation of continuous authentication systems , which constantly monitor user behavior to ensure that the initially authenticated person is the same one who continues to use the system. This dynamic approach significantly increases security , adapting to new threats and attack techniques.

3.3. Blockchain and data decentralization

Blockchain technology offers an innovative approach to protecting biometric data through decentralization. Blockchain is a distributed digital ledger that stores information in interconnected blocks protected by cryptography , making the data immutable and highly secure. This structure ensures that any attempt at alteration is identified, as each block depends on the previous one, creating a reliable and fraud-resistant chain.
By storing biometric information on a decentralized network , blockchain ensures data integrity and authenticity, eliminating single points of failure . This technology facilitates audits, ensures transparency, and strengthens compliance with data protection regulations. Innovative companies are already using blockchain to create secure authentication systems, such as the Humanity Protocol , which employs biometric scans to verify identities without exposing sensitive information . Thus, the integration of blockchain with biometrics reinforces security barriers, making access to biometric data safer and more reliable.

The implementation of these advanced technologies is mandatory for companies to protect their users' biometric data, maintaining trust and compliance with current regulations. Now, we will discuss best practices and recommendations for the effective adoption of these solutions in the corporate environment, ensuring a proactive approach to protecting sensitive information.

4. Best practices for protecting biometric information

Implementing effective strategies to protect biometric data not only prevents unauthorized access but also strengthens trust in the technological solutions offered. Below, we highlight three best practices to ensure the integrity of this sensitive information.

• Multi-Factor Authentication (MFA ) : This involves adding extra layers of security to the identity verification process , requiring the user to provide multiple forms of authentication before granting access to systems or data. This can include a combination of passwords, tokens , and biometric data. By implementing MFA, even if a credential is compromised, the chances of unauthorized access decrease significantly . For example, in addition to a password, the system can request a fingerprint or a code sent to the user's mobile device, ensuring more robust protection.
  
• Access control and permission management : Establishing strict access controls and efficient permission management is vital to limiting access to biometric data to only authorized individuals. This involves clearly defining who can view or manipulate this information and ensuring that access privileges are regularly reviewed and updated as needed. Implementing least privilege policies, where users receive only the permissions essential to perform their duties, reduces the risk of undue exposure of sensitive data. Furthermore, using solutions that monitor and log access attempts can help identify and respond quickly to suspicious activity.
  
• Continuous monitoring and auditing : Constant vigilance of systems that store and process biometric data is crucial for detecting and mitigating potential threats in a timely manner. Implementing monitoring tools that track activities in real time allows for the immediate identification of anomalous behavior or unauthorized access attempts. Furthermore, conducting regular audits of processes and systems helps ensure compliance with established security policies and identify areas that need improvement . For example, reviewing logs can reveal suspicious patterns that would otherwise go unnoticed, allowing for proactive actions to strengthen security.

By adopting these practices, companies not only avoid vulnerabilities and risks, but also create a trustworthy digital environment prepared for future challenges. Protecting biometric data with robust strategies reinforces the commitment to secure innovation and strengthens relationships with customers and partners— values ​​that position companies ahead in an increasingly digital and competitive landscape.

5. The future of biometric security

As technology advances, biometric security evolves to meet new challenges and address the growing demands for data protection. In this section, we will explore emerging trends and the role of behavioral biometrics as an additional solution in protecting sensitive information. Check it out!

5.1. Trends and new technologies

The future of biometric security is directly linked to technological innovation. With the rise in cyber threats and the increasing adoption of biometrics in various sectors, new technologies are emerging to ensure that sensitive data remains protected.

Check out the main trends shaping the future of biometric security:

• Integration of artificial intelligence : AI is being incorporated into biometric systems to improve the accuracy and efficiency of user authentication. Advanced algorithms allow for real-time analysis of biometric characteristics , identifying patterns and anomalies more quickly and accurately. This integration results in more robust systems that are adaptable to diverse security needs.
  
• Multimodal authentication : combining different biometric methods, such as facial recognition and fingerprints, is becoming a common practice. This multimodal approach increases security because it requires multiple identity verifications, making it more difficult for fraudsters to bypass the system . Furthermore, it offers flexibility to users, allowing them to choose the most convenient authentication method in different contexts.
  

Use of mobile credentials : the replacement of physical credentials with digital alternatives, such as mobile applications and smart devices, is on the rise. These options reduce the risks of loss or cloning and improve the user experience , facilitating secure access to systems and services. Companies are adopting solutions that allow for the intuitive and secure management of these mobile credentials, aligning themselves with trends in mobility and practicality.

5.2. Behavioral Biometrics as an Additional Solution

Behavioral biometrics analyzes unique patterns of user interaction with devices and systems , for example, typing dynamics, mouse , and ways of holding a smartphone . Unlike physical biometrics, which is based on static characteristics such as fingerprints or facial recognition, behavioral biometrics focuses on behaviors that are difficult for fraudsters to replicate. 

Check out the main advantages of this technology: 

• Enhanced security : By continuously monitoring user behavior, it's possible to detect suspicious activity in real time, preventing fraud before it causes significant damage.
  
• Seamless user experience : By operating in the background, behavioral biometrics does not require additional actions from users, providing seamless and transparent authentication. This improves customer satisfaction, as they do not have to deal with multiple verification steps;
  
• Difficulty of replication by fraudsters : because behavioral patterns are unique and complex, it becomes extremely challenging for malicious individuals to accurately replicate these behaviors to gain unauthorized access.

The implementation of behavioral biometrics, especially when combined with other forms of authentication , offers an additional layer of security. This hybrid approach strengthens defenses against cyber threats, ensuring that only legitimate users have access to sensitive information. Companies across various sectors are adopting this technology to protect transactions and data, recognizing its value in building a safer and more reliable digital environment .

Thus, the evolution of biometric security, driven by technological innovations and the adoption of methods such as behavioral biometrics, represents a significant advance in data protection. And organizations that invest in these solutions position themselves at the forefront of digital security , offering their clients not only efficient services, but also the guarantee that their information is protected against emerging threats.

6. How does Skyone ensure advanced security for biometric data?

At Skyone , biometric data protection is a priority. With the increasing adoption of these technologies, ensuring the integrity and confidentiality of information has become essential. Therefore, we offer robust and integrated solutions, aligned with best information security practices to protect our clients' data.

• Strong user authentication : We have implemented multi-factor authentication mechanisms, combining passwords, tokens , and biometric data. This ensures that only authorized individuals can access sensitive systems, significantly reducing the risk of intrusions single sign-on tools , facilitating secure access to multiple applications with a single centralized
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• Advanced encryption : We use state-of-the-art encryption protocols to protect data in transit and at rest. We ensure that biometric information remains unreadable to any malicious actor by applying encryption at all stages of processing and storage.

• Continuous monitoring and threat detection : Our Security Operations Center (SOC) continuously monitors systems, enabling proactive detection of suspicious activity and rapid incident response. We utilize behavioral analysis tools and artificial intelligence to identify and mitigate threats in real time.
  
• Regulatory compliance : We guarantee that our solutions comply with the LGPD (Brazilian General Data Protection Law) and other regulations, implementing rigorous access control policies, permission management, and constant audits to ensure that biometric data is handled legally and securely.
  
• Secure cloud infrastructure : With our Auto.Sky , we facilitate the migration and management of applications in the cloud, providing scalability, availability, and security. We offer solutions such as Web Application Firewall (WAF) and Security Manager , which protect applications against various cyber threats;
  
• Privileged access management : We implement privileged access management solutions that rigorously monitor and control accounts with elevated permissions, ensuring traceability and preventing misuse.
  
• Penetration testing ( Pentest ) : We conduct penetration tests to identify and correct vulnerabilities before they can be exploited, assessing system resilience and continuously improving security.
  
• Advanced backup backup solutions , ensuring that biometric data is copied regularly and can be restored quickly, guaranteeing continuity and availability.
  
• Training and capacity building : We invest in training and capacity building for our clients' teams, promoting good security practices and the proper use of our tools, strengthening the data protection culture within organizations.

With Skyone , the security of your company's biometric data is not just a promise: it's a reality guaranteed by cutting-edge technology, continuous monitoring, and rigorous compliance . Talk to one of our specialists and discover how we can customize solutions to protect your data efficiently and reliably!

7. Conclusion

The use of biometric data has brought significant advances to digital security, making authentication processes faster and more reliable. However, this evolution also poses challenges that require a strategic approach to protect sensitive information efficiently.

As we have seen throughout this article, the protection of biometric data does not depend on a single solution, but on a set of technologies and practices that include advanced cryptography, artificial intelligence, blockchain , and multifactor authentication. Furthermore, compliance with regulations such as the LGPD (Brazilian General Data Protection Law) plays a fundamental role in the security and governance of this information.

The increasing sophistication of attacks demands a continuous commitment to innovation and security. Companies that adopt advanced technologies and effective data protection policies not only mitigate risks but also reinforce the trust of their users and partners , ensuring a safer and more resilient digital environment.
Now, how about deepening your knowledge about the protection of sensitive information and compliance with regulations? We invite you to read our article "The importance of data governance for compliance with the LGPD ," in which we explore best practices to meet legal requirements and ensure data security, strengthening your organization's protection strategy.

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Written by Skyone